Bring Scheduling Api
to Mastra AI
Learn how to connect Timekit to Mastra AI and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Timekit MCP Server?
Connect your Timekit account to any AI agent and simplify how you manage resource availability, booking workflows, and customer appointments through natural conversation.
What you can do
- Resource Management — List all resources (people, rooms, equipment) and create new profiles to manage scheduling capacity.
- Booking Lifecycle — Create new bookings, confirm tentative requests, or decline/cancel existing appointments via AI.
- Availability Checking — Programmatically find available time slots for one or more resources based on specific date ranges and durations.
- Rescheduling — Easily move existing bookings to new time slots without manual dashboard entry.
- Workflow Control — Manage complex booking 'graphs' (instant, confirm_decline) directly from your workspace.
- Account Visibility — Retrieve detailed metadata for specific bookings and resources to stay on top of your schedule.
How it works
1. Subscribe to this server
2. Enter your Timekit API Key (found in your developer settings)
3. Start managing your scheduling infrastructure from Claude, Cursor, or any MCP client
Who is this for?
- Service Providers — quickly book client consultations and check availability via simple AI commands.
- Office Managers — manage room bookings and equipment scheduling across the organization directly from the workspace.
- Product Teams — automate the creation of resources and monitor booking flows via the AI assistant.
Built-in capabilities (11)
Cancel a confirmed booking
Check availability for resources
Confirm a pending booking
Create a new booking
Create a new resource
Decline a pending booking
Get details for a specific booking
Get details for a specific resource
List all bookings
List all resources (people, rooms, etc.)
Reschedule an existing booking
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Timekit tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Timekit without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Timekit tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Timekit in Mastra AI
Timekit and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Timekit to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Timekit in Mastra AI
The Timekit MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Timekit for Mastra AI
Every tool call from Mastra AI to the Timekit MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check availability for multiple resources at once?
Yes! Use the check_availability tool and provide a JSON array of Resource IDs. The agent will return time slots where all specified resources are available.
How do I confirm a tentative booking request?
Use the confirm_booking action and provide the unique Booking ID. This will transition the request from 'tentative' to 'confirmed' in your Timekit account.
Is it possible to reschedule an existing appointment via AI?
Absolutely. Use the reschedule_booking tool. Provide the Booking ID and the new start and end times to update the appointment instantly.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp